In QNN, the choice of the quantizer and the normalization of the weights (at each layer) play a key role. Many works have been devoted to the design of non-uniform or statistical (distribution dependent) quantizers; see [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]} and the references therein. Statistical quantizers are often more efficient, but they are more complex to implement and often require fine tuning [8]}.
